the purpose of this study is evaluation and improvement of production functions to estimate alfalfa yields under different deficit irrigations conditions and determination of “production of yield - water use” in qazvin plain. this investigation was applied by factorial experiment in a randomized complete block design with four water treatments including e4, e3, e2, and e1, respectively, equal t...

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A case study comparing extensive, low-yielding smallholder maize production with an intensified, high-yielding production system (‘sustainable intensification’) is used to illustrate potential trade-offs between agricultural product carbon footprints (PCFs) and land use (LU). In the comparative analysis the extensive systems had lower PCFs so the conclusion may be that these systems should be e...

The actual scientific problem in machine learning is the development of new interpretable mathematical models, as well methods and programs for their construction. Many well-known regression models have good interpretative properties, example, linear power (Cobb – Douglas production functions). Previously, author developed non-elementary regressions, constructing which was reduced to mixed inte...